Few Shot Semantic Segmentation Papers 
NOTE: If your paper is not in the list, plese feel free to raise an issue or drop me an e-mail.
2022
| Title |
Venue |
PDF |
CODE |
| Self-Support Few-Shot Semantic Segmentation |
ECCV |
PDF |
CODE |
| Generalized Few-shot Semantic Segmentation |
CVPR |
PDF |
CODE |
| Integrative Few-Shot Learning for Classification and Segmentation |
CVPR |
PDF |
CODE |
| Learning What Not to Segment: A New Perspective on Few-Shot Segmentation |
CVPR |
PDF |
CODE |
| APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation |
TMM |
PDF |
- |
| MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation |
arXiv |
PDF |
CODE |
2021
| Title |
Venue |
PDF |
CODE |
| Rich Embedding Features for One-Shot Semantic Segmentation |
TNNLS |
PDF |
- |
| Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer |
ICCV |
PDF |
CODE |
| Hypercorrelation Squeeze for Few-Shot Segmenation |
ICCV |
PDF |
CODE |
| Mining Latent Classes for Few-shot Segmentation |
ICCV |
PDF |
CODE |
| Few-Shot Semantic Segmentation with Cyclic Memory Network |
ICCV |
PDF |
- |
| Learning Meta-class Memory for Few-Shot Semantic Segmentation |
ICCV |
PDF |
CODE |
| Progressive One-Shot Human Parsing |
AAAI |
PDF |
CODE |
| Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation |
AAAI |
PDF |
CODE |
| Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation |
CVPR |
PDF |
- |
| Adaptive Prototype Learning and Allocation for Few-Shot Segmentation |
CVPR |
PDF |
CODE |
| Self-Guided and Cross-Guided Learning for Few-Shot Segmentation |
CVPR |
PDF |
CODE |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? |
CVPR |
PDF |
CODE |
| On the Texture Bias for Few-Shot CNN Segmentation |
WACV |
PDF |
CODE |
| A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation |
ISBI |
PDF |
- |
| Dense Gaussian Processes for Few-Shot Segmentation |
arXiv |
PDF |
- |
| End-to-end One-shot Human Parsing |
arXiv |
PDF |
- |
| Few-Shot Segmentation with Global and Local Contrastive Learning |
arXiv |
PDF |
- |
| Few-shot Segmentation with Optimal Transport Matching and Message Flow |
arXiv |
PDF |
- |
| Uncertainty-Aware Semi-Supervised Few Shot Segmentation |
arXiv |
PDF |
- |
| Cost Aggregation Is All You Need for Few-Shot Segmentation |
arXiv |
PDF |
CODE |
2020
| Title |
Venue |
PDF |
CODE |
| Dynamic Extension Nets for Few-shot Semantic Segmentation |
MM |
PDF |
CODE |
| Semi-supervised few-shot learning for medical image segmentation |
arXiv |
PDF |
CODE |
| Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? |
arXiv |
PDF |
CODE |
| Meta-Learning Initializations for Image Segmentation |
NeurIPS-W |
PDF |
CODE |
| BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation |
arXiv |
PDF |
CODE |
| Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation |
ECCV |
PDF |
CODE |
| Generalized Few-Shot Semantic Segmentation |
arXiv |
PDF |
- |
| FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation |
CVPR |
PDF |
CODE |
| Few-Shot Semantic Segmentation with Democratic Attention Networks |
ECCV |
PDF |
- |
| Prototype Mixture Models for Few-shot Semantic Segmentation |
ECCV |
PDF |
CODE |
| PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation |
TPAMI |
PDF |
CODE |
| Part-aware Prototype Network for Few-shot Semantic Segmentation |
ECCV |
PDF |
CODE |
| SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation |
IJCAI |
PDF |
- |
| Objectness-Aware One-Shot Semantic Segmentation |
arXiv |
PDF |
- |
| Self-Supervised Tuning for Few-Shot Segmentation |
arXiv |
PDF |
- |
| SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation |
TCYB |
PDF |
CODE |
| CAFENet: Class-Agnostic Few-Shot Edge Detection Network |
arXiv |
PDF |
- |
| FGN: Fully Guided Network for Few-Shot Instance Segmentation |
CVPR |
PDF |
- |
| CRNet: Cross-Reference Networks for Few-Shot Segmentation |
CVPR |
PDF |
- |
| Differentiable Meta-learning Model for Few-shot Semantic Segmentation |
AAAI |
PDF |
- |
| Prototype Refinement Network for Few-Shot Segmentation |
arXiv |
PDF |
- |
| Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings |
IJCAI |
PDF |
- |
2019
| Title |
Venue |
PDF |
CODE |
| A deep one-shot network for query-based logo retrieval |
PR |
PDF |
- |
| PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment |
ICCV |
PDF |
CODE |
| Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation |
ICCV |
PDF |
- |
| AMP: Adaptive Masked Proxies for Few-Shot Segmentation |
ICCV |
PDF |
CODE |
| Feature Weighting and Boosting for Few-Shot Segmentation |
ICCV |
PDF |
- |
| CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning |
CVPR |
PDF |
CODE |
| Adaptive Masked Weight Imprinting for Few-Shot Segmentation |
ICLRW |
PDF |
- |
| A New Local Transformation Module for Few-Shot Segmentation |
MMMM |
PDF |
|
| A New Few-shot Segmentation Network Based on Class Representation |
arXiv |
PDF |
|
2018
| Title |
Venue |
PDF |
CODE |
| Conditional networks for few-shot semantic segmentation |
ICLRW |
PDF |
CODE |
| Few-Shot Semantic Segmentation with Prototype Learning |
BMVC |
PDF |
- |
2017
| Title |
Venue |
PDF |
CODE |
| One-Shot Learning for Semantic Segmentation |
BMVC |
PDF |
CODE |